Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Advanced series on mathematical psychology

Explaining Interference Effects Using Quantum Probability Theory

Jerome R. Busemeyer, Jennifer S. Trueblood

Published Sep 1, 2011• 0 citations
Publisher
DOI
10.1142/9789814368018_0002

Related papers

The quantum analysis theory of the A-B effect

Huixia Jin

Aim To quantitatively analyze and explain the A-B effect,and potential A has the physical effect which may been observed.Methods Feynman's path integral and quantum theory are used to analyze quantitatively phase shift of electron probability wave resulting from the magnetic vector-potential A and then the A-B effect is explained.Results Although the electronic movement goes to region without any action to exert on the electronic,some extra factor attaches actually in the electronic probability wave,and appears the interference fringe movement through the quantum interference,but moves to position through the zero order enormous stripe,may measure in the circular solenoid magnetic .Conclusion The local field effect B is not used to describe A-B effect,but phase factor is that can completely appropriate description magnetic field physical quantity.

Journal of Baoji University of Arts and Sciences•Jan 1, 2006•0 citations

A quantum mechanical model of interference

A. Shalom, J. Žák

Physics Letters A•Feb 1, 1973•2 citations

Quantum Interference of Probabilities and Hidden Variable Theories

M. D. Srinivas

Springer eBooks•Jan 1, 1984•0 citations

Quantum Interference Effects in Social Decision-Making

Qiang Sun

Quantum interference effects play a fundamental role in social decision-making, offering a novel perspective beyond classical decision theories. This study explores the theoretical foundations of quantum decision-making, emphasizing the role of quantum probability in explaining cognitive biases, preference reversals, and decision anomalies. The research presents a quantum probability-based decision model and contrasts it with classical probability models. Through theoretical modeling and experimental design, we demonstrate how quantum interference alters decision probabilities and impacts group decision dynamics. The study further examines the applications of quantum decision theory in game theory, policy-making, financial markets, and artificial intelligence. Our findings suggest that quantum probability provides a more comprehensive and realistic framework for understanding human decision-making processes. Future research should focus on empirical validation, interdisciplinary integration, and the application of quantum computing to social decision modeling.

Quantum Social Science•Feb 18, 2025•1 citation

Quantum cognition and projection bias

Raymond J. Hawkins, Evan Walsh

The innovative application of quantum mechanical concepts of probability to cognitive science has provided new, meaningful ways to more accurately model human decision making. Leveraging the dynamic geometric principles associated with the mathematics of quantum theory, we use the idea of probability interference to explain projection bias and its violations of the classical law of total probability and expected utility theory. In particular, Khrennikov's contextual probability model is successfully applied to the study by Read & van Leeuwen on hunger and projection bias. We conclude that probability interference provides an effective, accurate and meaningful way to model projection bias, thus broadening the reach of quantum cognition in economics.This article is part of the theme issue 'Quantum theory and topology in models of decision making (Part 1)'.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences•Nov 27, 2025•0 citations

Some quantum aspects of interference experiments

Yakir Aharonov, Aage Petersen

IEEE Transactions on Antennas and Propagation•Jan 1, 1967•0 citations
Aim To quantitatively analyze and explain the A-B effect,and potential A has the physical effect which may been observed.Methods Feynman's path integral and quantum theory are used to analyze quantitatively phase shift of electron probability wave resulting from the magnetic vector-potential A and then the A-B effect is explained.Results Although the electronic movement goes to region without any action to exert on the electronic,some extra factor attaches actually in the electronic probability wave,and appears the interference fringe movement through the quantum interference,but moves to position through the zero order enormous stripe,may measure in the circular solenoid magnetic .Conclusion The local field effect B is not used to describe A-B effect,but phase factor is that can completely appropriate description magnetic field physical quantity.
Quantum interference effects play a fundamental role in social decision-making, offering a novel perspective beyond classical decision theories. This study explores the theoretical foundations of quantum decision-making, emphasizing the role of quantum probability in explaining cognitive biases, preference reversals, and decision anomalies. The research presents a quantum probability-based decision model and contrasts it with classical probability models. Through theoretical modeling and experimental design, we demonstrate how quantum interference alters decision probabilities and impacts group decision dynamics. The study further examines the applications of quantum decision theory in game theory, policy-making, financial markets, and artificial intelligence. Our findings suggest that quantum probability provides a more comprehensive and realistic framework for understanding human decision-making processes. Future research should focus on empirical validation, interdisciplinary integration, and the application of quantum computing to social decision modeling.
The innovative application of quantum mechanical concepts of probability to cognitive science has provided new, meaningful ways to more accurately model human decision making. Leveraging the dynamic geometric principles associated with the mathematics of quantum theory, we use the idea of probability interference to explain projection bias and its violations of the classical law of total probability and expected utility theory. In particular, Khrennikov's contextual probability model is successfully applied to the study by Read & van Leeuwen on hunger and projection bias. We conclude that probability interference provides an effective, accurate and meaningful way to model projection bias, thus broadening the reach of quantum cognition in economics.This article is part of the theme issue 'Quantum theory and topology in models of decision making (Part 1)'.